TheMistoAI / MistoControlNet-Flux-dev

ControlNet collections for Flux1-dev model, Trained by TheMisto.ai Team
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Noise Result #16

Open simonmecho opened 2 months ago

simonmecho commented 2 months ago

Hello, I'm trying the workflow using fp8 and also the gguf version, but in both case I just got result of noise only, what was the case for that? please see the attached screenshot. Thanks! CleanShot 2024-09-03 at 14 10 27@2x

baizh0u commented 2 months ago

It's a bit strange indeed. Is there any error message in the terminal? or try .bin format model instead.

simonmecho commented 2 months ago

Actually I've already tried the .bin model, and in both cases there is no errors on the console, which is quite weird...

chenheng0620 commented 2 months ago

newscreen21609562 这是什么情况????怎么解决

baizh0u commented 2 months ago

uugf model or the normal one?

kakachiex2 commented 2 months ago

And the generation take forever is really slow

baizh0u commented 2 months ago

try using non-uugf format model with hyper-flux lora.

kakachiex2 commented 2 months ago

_Here is my workflow can you give it a check :: | there are 3 workflow | CNet Union | MistoLine | Xlabs | :: FLUX_WF_V1 01

baizh0u commented 2 months ago

It looks quite ok, have you ever tried our example workflow?

kakachiex2 commented 2 months ago

Yes same result

baizh0u commented 2 months ago

You guys using Lora with clip port or only use load only Lora weight?

kakachiex2 commented 2 months ago

I was using model only load lora, I bypass the lora node and the result is the same, the ksampler take a lot of time to render.

baizh0u commented 2 months ago

What kind of gpu are you using? And what is your PyTorch version? Rafael Nolasco @.***>於2024年9月4日 23:14寫道: I was using model only load lora, I bypass the lora node and the result is the same, the ksampler take a lot of time to render.

Loader 445.20s Ksampler 1943.20s

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